Search results for ""Franklin, Beedle Associates Inc""

The revised and expanded third edition of Common Errors in English Usage remains a useful and fun guide to mixed-up, mangled expressions, foreign language faux pas, confusing terms, and commonly mispronounced words. Reviews: “I rarely take a Grammar Girl podcast live without at least quadruple-checking my main thesis, and Common Errors in English Usage has quickly become one of my most valued fact-checking resources.” —from the Foreword by “Grammar Girl” Mignon Fogarty, podcaster, author of Grammar Girl’s Quick and Dirty Tips for Better Writing

Read more less

A unique approach to “Intro CS.” In a nutshell, the authors of this book's objective is to provide an introduction to computer science as an intellectually rich and vibrant field rather than focusing exclusively on computer programming. While programming is certainly an important and pervasive element of their approach, they emphasize concepts and problem-solving over syntax and programming language features.This book is a companion to the course “CS for All” developed at Harvey Mudd College and subsequently adopted at a variety of colleges and universities. At Mudd, this course is taken by almost every first-year student - irrespective of the student’s ultimate major - as part of the college’s core curriculum. The offering is also taken by many students at the Claremont Colleges, including students majoring in the humanities, social sciences, and the arts. Thus, it serves as a first computing course for students regardless of their major.This book is intended to be used with the substantial resources that we have developed for the course. These resources include complete lecture slides, a rich collection of weekly assignments, some accompanying software, documentation, and papers that have been published about the course. The authors have deliberately kept this book relatively short and have endeavored to make it fun and readable.The content of this book is an accurate reflection of the content of the course rather than an intimidating encyclopedic tome that can’t possibly be covered in a single semester. The book has been written in the belief that a student can read all of it comfortably as the course proceeds.

Read more less

This book is designed to be used as a primary textbook in a college-level first course in computing. It takes a fairly traditional approach, emphasizing problem solving, design, and programming as the core skills of computer science. However, these ideas are illustrated using a non-traditional language, namely Python. This textbook was written with a single overarching goal: to introduce fundamental computer science concepts as simply as possible without being simplistic. Using Python is central to this goal. Traditional systems languages such as C , Ada, and Java evolved to solve problems in large-scale programming, where the primary emphasis is on structure and discipline. They were not designed to make writing small- or medium-scale programs easy. The recent rise in popularity of scripting (sometimes called “agile”) languages, such as Python, suggests an alternative approach. Python is very flexible and makes experimentation easy. Solutions to simple problems are simply and elegantly expressed. Python provides a great laboratory for the neophyte programmer. Python has a number of features that make it a near-perfect choice as a first programming language. The basic structures are simple, clean, and well designed, which allows students to focus on the primary skills of algorithmic thinking and program design without getting bogged down in arcane language details. Concepts learned in Python carry over directly to subsequent study of systems languages such as C and Java. But Python is not a “toy language.” It is a real-world production language that is freely available for virtually every programming platform and comes standard with its own easy-to-use integrated programming environment. The best part is that Python makes learning to program fun again.New to the Third EditionThe third edition continues the tradition of updating the text to reflect new technologies while maintaining a time-tested approach to teaching introductory computer science. An important change to this edition is the removal of most uses of eval and the addition of a discussion of its dangers. In our increasingly connected world, it’s never too early to begin considering computer security issues. Several new graphics examples, developed throughout chapters 4–12, have been added to introduce new features of the graphics library that support animations, including simple video game development. This brings the text up to date with the types of final projects that are often assigned in modern introductory classes. Smaller changes have been made throughout the text, including: Material on file dialogs has been added in Chapter 5. Chapter 6 has been expanded and reorganized to emphasize value-returning functions. Coverage has been streamlined and simplified to use IDLE (the standard “comes-with-Python” development environment) consistently. This makes the text more suitable for self-study as well as for use as a classroom textbook. Technology references have been updated. To further accommodate self-studiers, end-of-chapter solutions for this third edition will be freely available online. Classroom instructors wishing to use alternative exercises can request those from the publisher. Self-studiers and instructors alike will be able to visit this website to download the solutions.

Read more less

This textbook is about computer science. It is also about Python. However, there is much more. The study of algorithms and data structures is central to understanding what computer science is all about.Learning computer science is not unlike learning any other type of difficult subject matter. The only way to be successful is through deliberate and incremental exposure to the fundamental ideas. A beginning computer scientist needs practice so that there is a thorough understanding before continuing on to the more complex parts of the curriculum. In addition, a beginner needs to be given the opportunity to be successful and gain confidence.This textbook is designed to serve as a text for a first course on data structures and algorithms, typically taught as the second course in the computer science curriculum. Even though the second course is considered more advanced than the first course, this book assumes you are beginners at this level. You may still be struggling with some of the basic ideas and skills from a first computer science course and yet be ready to further explore the discipline and continue to practice problem solving.The authors cover abstract data types and data structures, writing algorithms, and solving problems. We look at a number of data structures and solve classic problems that arise. The tools and techniques that you learn here will be applied over and over as you continue your study of computer science.This textbook has three key features:- A strong focus on problem solving introduces students to the fundamental data structures and algorithms by providing a very readable text without introducing an overwhelming amount of new language syntax.- Algorithm analysis in terms of Big-O running time is introduced early and applied throughout.- Python is used to facilitate the success of beginning students in using and mastering data structures and algorithms.

Read more less